Applied Statistics I

Catalog description

An in-depth introduction to descriptive and inferential statistical procedures including graphical and numerical data summary, basic principles of sampling and experimental design, random variables and probability distributions, estimation and hypothesis testing, contingency table analysis, and correlation and regression. Emphasizes conceptual understanding of statistical procedures and their implementation using statistical software. Prerequisite: Satisfaction of the mathematics preparatory requirement. Students may not earn credit in more than one of MAT-100, MAT-112, or MAT-204.